Insights into modelling and evaluation of thermodynamic and transport properties of refrigerants using machine-learning methods

Autor:	Abolfazl Sajadi Noushabadi, Ebrahim Nemati Lay, Amir Dashti, Amir H. Mohammadi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jiří Jaromír Klemeš
Rok vydání:	2023
Předmět:	General Energy Mechanical Engineering Building and Construction Electrical and Electronic Engineering Pollution Industrial and Manufacturing Engineering Civil and Structural Engineering
Zdroj:	Energy. 262:125099
ISSN:	0360-5442
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c1bf993f7c3e3ebeeb34d965567d3c0e https://doi.org/10.1016/j.energy.2022.125099 Zobrazit plný text záznamu Full Text from ScienceDirect